农村双车道高速公路弯道段的单车道偏离事故:利用模式识别进行诊断

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引用次数: 0

摘要

在致命和重伤交通事故中,弯道路段所占比例过高,而这些交通事故大多发生在农村双车道(R2L)公路上。在 2008 年至 2017 年的 10 年间,路易斯安那州的 R2L 公路上共发生了 1 234 起致命的单车道路偏离(SV-RwD)事故,其中 635 起(51.5%)发生在弯道路段。因此,调查 SV-RwD 事故的原因,特别是发生在弯道上的 SV-RwD 事故的原因至关重要。本研究旨在利用 2008 年至 2017 年收集的致命和受伤碰撞数据,调查导致路易斯安那州 R2L 曲线路段 SV-RwD 碰撞事故的因素的 "关联知识"。为实现这一目标,研究采用了聚类对应分析法(CCA),这是一种稳健的联合降维和聚类方法,用于处理碰撞数据的高维性和多重共线性。根据聚类验证措施,研究确定了五个具有特定特征的聚类,包括酒精受损且未使用安全带的男性驾驶员、在阴天条件下发生碰撞事故的年轻(15-24 岁)女性驾驶员、在雨天条件下发生的涉及动物的碰撞事故、在阴天条件下发生在山顶位置的碰撞事故,以及在有路灯且车流量较大的黑暗条件下发生的碰撞事故。此外,大多数群组中都发现了年轻(15-24 岁)的女性驾驶员,这意味着在处理 R2L 弯道上的 SV-RwD 碰撞事故时,需要特别考虑这一特定年龄段的女性驾驶员。为改善 R2L 弯道路段的安全状况,决策者可利用本研究结果制定有针对性的对策。
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Single-vehicle roadway departure crashes at rural two-lane highway curved segments: A diagnosis using pattern recognition
Curved segments account for a disproportionately high proportion of fatal and serious injury crashes, with most of these crashes occurring on rural two-lane (R2L) highways. During the 10-year period from 2008 to 2017, a total of 1 234 fatal single-vehicle roadway departure (SV-RwD) crashes occurred on R2L roads in Louisiana, out of which 635 (51.5 %) crashes occurred on curved segments. Therefore, it is critical to investigate the causes of SV-RwD crashes, specifically those that occur on curved segments. This study aimed to investigate the ‘association knowledge’ of the factors contributing to SV-RwD crashes on R2L curved segments in Louisiana using fatal and injury crash data collected from 2008 to 2017. The study utilized Cluster Correspondence Analysis (CCA), a robust joint dimension reduction and clustering method for handling high-dimensionality and multicollinearity of crash data, to achieve this objective. Based on the cluster validation measures, the study identified five clusters with specific traits, including alcohol-impaired male drivers with no seatbelt usage, young (15–24 years old) female drivers’ crash involvement in cloudy weather conditions, animal-involved crashes in rainy weather conditions, crashes occurring on hillcrest locations under cloudy weather conditions, and crashes in the dark with the presence of streetlights and higher traffic volume. Furthermore, young (15–24 years) female drivers were identified in most clusters, implying that this specific age group of female drivers requires special consideration when dealing with SV-RwD collisions on R2L curved segments. To improve safety on R2L curved segments, policymakers can use the findings of this study to develop targeted countermeasures.
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来源期刊
International Journal of Transportation Science and Technology
International Journal of Transportation Science and Technology Engineering-Civil and Structural Engineering
CiteScore
7.20
自引率
0.00%
发文量
105
审稿时长
88 days
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